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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 14732
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    Explanations

    instances where the speaker mentions having personal opinions or experiences

    oai_token-act-pair · gpt-3.5-turbo

    the word "have" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gap
    -0.70
    VERTISEMENT
    -0.65
    ritional
    -0.64
     yourselves
    -0.62
     tides
    -0.62
    Args
    -0.62
    taboola
    -0.61
     Trap
    -0.61
     juven
    -0.60
    ifice
    -0.60
    POSITIVE LOGITS
     myself
    1.17
     personally
    1.04
    opic
    0.83
     paraph
    0.79
     recommend
    0.79
    azon
    0.79
    stic
    0.78
    £ı
    0.77
     gladly
    0.77
    OGR
    0.76
    Activations Density 0.281%

    No Known Activations